Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation
This paper focuses on the optimization of a winged UAV airframe utilizing a preliminary configuration and the combination of the Taguchi experimental design method and the evolutionary genetic optimization algorithm, along with computational fluid dynamics. Simulations were carried out based on the...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/ijae/2698950 |
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| _version_ | 1846143126517841920 |
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| author | Mohammad Javad Ebrahimi Mahmoud Pasandidehfard Ali Esmaeili Mohammad Hossein Moghimi Esfandabadi |
| author_facet | Mohammad Javad Ebrahimi Mahmoud Pasandidehfard Ali Esmaeili Mohammad Hossein Moghimi Esfandabadi |
| author_sort | Mohammad Javad Ebrahimi |
| collection | DOAJ |
| description | This paper focuses on the optimization of a winged UAV airframe utilizing a preliminary configuration and the combination of the Taguchi experimental design method and the evolutionary genetic optimization algorithm, along with computational fluid dynamics. Simulations were carried out based on the Reynolds-averaged Navier–Stokes (RANS) equations and SST k‐ω turbulence model and the large eddy simulation (LES) for a speed of 50 m/s and a Reynolds number of 1.6 million. Optimization was conducted for six variables in a single stage, with 25 tests performed. The tested case is a winged UAV with a Lambda-shaped airframe design named SACCON, featuring wings with a tilt angle of 53°. The objective function in this study is the ratio of lift to drag specified. A genetic algorithm is used in conjunction with an initial configuration to create a new aircraft. Ultimately, the newly designed airframe demonstrates a 14% improvement in aerodynamic efficiency compared to the default state, and the lift-to-drag ratio increases by 55%, successfully concluding the optimization process. |
| format | Article |
| id | doaj-art-40217b290d7e4e37a4a61d3bacecaa0f |
| institution | Kabale University |
| issn | 1687-5974 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-40217b290d7e4e37a4a61d3bacecaa0f2024-12-03T00:00:12ZengWileyInternational Journal of Aerospace Engineering1687-59742024-01-01202410.1155/ijae/2698950Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy SimulationMohammad Javad Ebrahimi0Mahmoud Pasandidehfard1Ali Esmaeili2Mohammad Hossein Moghimi Esfandabadi3Department of MechanicsDepartment of MechanicsDepartment of MechanicsDepartment of MechanicsThis paper focuses on the optimization of a winged UAV airframe utilizing a preliminary configuration and the combination of the Taguchi experimental design method and the evolutionary genetic optimization algorithm, along with computational fluid dynamics. Simulations were carried out based on the Reynolds-averaged Navier–Stokes (RANS) equations and SST k‐ω turbulence model and the large eddy simulation (LES) for a speed of 50 m/s and a Reynolds number of 1.6 million. Optimization was conducted for six variables in a single stage, with 25 tests performed. The tested case is a winged UAV with a Lambda-shaped airframe design named SACCON, featuring wings with a tilt angle of 53°. The objective function in this study is the ratio of lift to drag specified. A genetic algorithm is used in conjunction with an initial configuration to create a new aircraft. Ultimately, the newly designed airframe demonstrates a 14% improvement in aerodynamic efficiency compared to the default state, and the lift-to-drag ratio increases by 55%, successfully concluding the optimization process.http://dx.doi.org/10.1155/ijae/2698950 |
| spellingShingle | Mohammad Javad Ebrahimi Mahmoud Pasandidehfard Ali Esmaeili Mohammad Hossein Moghimi Esfandabadi Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation International Journal of Aerospace Engineering |
| title | Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation |
| title_full | Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation |
| title_fullStr | Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation |
| title_full_unstemmed | Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation |
| title_short | Optimization of Aerodynamic Design of a Winged UAV Through Genetic Algorithms and Large Eddy Simulation |
| title_sort | optimization of aerodynamic design of a winged uav through genetic algorithms and large eddy simulation |
| url | http://dx.doi.org/10.1155/ijae/2698950 |
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